Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "121"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 121 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 33 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 31 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 121, Node N08:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459848 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 3.169114 7.133103 -0.607764 0.856723 0.471907 0.217775 40.200937 19.387568 0.7375 0.7672 0.3723 3.436316 3.070997
2459847 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 3.692716 8.026126 -0.579989 0.779163 1.095456 -0.288105 36.633613 10.831309 0.7455 0.7083 0.4200 8.771549 6.533775
2459846 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 4.013751 7.167423 -0.503091 0.273853 -0.691469 0.207263 32.563660 10.361528 0.8532 0.6917 0.4875 3.332172 2.561544
2459845 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 388.559443 388.623641 inf inf 7543.195495 7776.542745 6488.387056 7115.777023 nan nan nan 0.000000 0.000000
2459844 digital_ok 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459843 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459842 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.677023 4.549379 0.301136 1.646624 2.150233 0.898718 9.515402 4.378999 0.7727 0.7055 0.2629 4.386688 4.049016
2459841 digital_ok 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459840 digital_ok 100.00% 100.00% 100.00% 0.00% - - 70.371340 56.718877 16.250758 16.559742 8.291598 9.227950 23.789167 25.684471 0.0210 0.0197 0.0011 nan nan
2459839 digital_ok 100.00% - - - - - 17.859315 14.475382 38.617097 39.970500 3.839699 4.550420 31.525175 35.432765 nan nan nan nan nan
2459838 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 3.213235 6.213423 -0.618547 2.115490 1.442690 1.721332 37.302735 4.743799 0.7781 0.7444 0.3811 5.407238 4.902938
2459836 digital_ok - 100.00% 100.00% 0.00% - - nan nan nan nan nan nan nan nan 0.0329 0.0314 -0.0006 nan nan
2459835 digital_ok 100.00% 100.00% 100.00% 0.00% - - -0.182444 1.092034 1.444073 4.796260 20.483641 3.775337 87.572870 20.100264 0.0335 0.0327 -0.0006 nan nan
2459833 digital_ok 100.00% 100.00% 100.00% 0.00% - - 8.710920 4.054410 5.326953 6.541161 34.066500 31.504947 136.343733 102.318200 0.0258 0.0250 0.0005 nan nan
2459832 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 4.437166 8.467776 -0.903078 2.201983 -0.768391 1.730059 33.628889 15.058066 0.8228 0.5857 0.5508 3.995837 3.214035
2459831 digital_ok 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459830 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 4.200858 9.068833 -0.863690 3.343518 0.227473 1.245492 69.541828 26.968624 0.8247 0.5983 0.5281 6.742224 5.544573
2459829 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 5.768559 11.164460 -0.607257 3.466552 1.359832 5.026227 106.883623 45.887998 0.7797 0.7056 0.3862 0.000000 0.000000
2459828 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 3.934943 7.638969 -0.636306 1.012287 0.129792 0.152961 75.923504 61.074281 0.8237 0.6059 0.5161 3.592711 2.754746
2459827 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 4.146723 9.416513 -0.186917 1.106946 9.670350 1.544571 22.152891 14.799078 0.7851 0.7116 0.3901 8.626030 5.638154
2459826 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 3.231482 6.985438 -0.439110 0.673932 0.143666 0.550885 63.119088 29.983795 0.8181 0.6147 0.4968 0.000000 0.000000
2459825 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 3.239422 7.065117 -0.781376 0.651598 -0.457031 0.431374 6.345403 5.470125 0.8242 0.6471 0.4798 4.540749 3.382695
2459824 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.966887 7.364780 -0.498087 0.771512 0.053043 1.438966 45.231047 22.468948 0.7596 0.7745 0.3353 4.465737 3.743687
2459823 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.647958 5.142471 -0.458133 0.472254 0.907905 1.341867 56.775674 49.468164 0.7930 0.6912 0.4344 3.540516 3.266989
2459822 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 3.263409 6.736206 -0.532762 0.896097 -0.482849 0.734781 9.584038 5.944538 0.8166 0.6532 0.4917 4.223599 3.463624
2459821 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 4.274988 8.227680 -0.507681 0.460695 -0.670087 -0.006589 1.374529 2.045500 0.8209 0.6695 0.4774 2.811142 2.701657
2459820 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 4.347923 8.732865 -0.640823 1.062515 5.154305 6.112898 34.381362 27.395893 0.7959 0.7175 0.3915 5.537675 4.707109
2459817 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 3.278970 5.540111 -0.662233 0.457390 -0.578477 -0.390997 5.085498 4.306261 0.8243 0.6988 0.4869 2.926675 2.743087
2459816 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 3.437009 6.134736 -0.835129 0.825796 0.629094 1.163022 74.314825 39.119380 0.8613 0.6416 0.5596 4.314137 3.485202
2459815 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.906043 5.590731 -0.783711 0.317560 -0.575916 1.441923 54.182765 27.450252 0.8286 0.7184 0.4827 3.575354 3.430057
2459814 digital_ok 0.00% - - - - - nan nan nan nan nan nan nan nan nan nan nan nan nan
2459813 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 6.725920 11.077269 -0.755716 0.392436 3.408375 4.480369 78.820545 41.239208 0.0831 0.0769 0.0138 0.000000 0.000000

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 121: 2459848

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
121 N08 digital_ok ee Temporal Discontinuties 40.200937 7.133103 3.169114 0.856723 -0.607764 0.217775 0.471907 19.387568 40.200937

Antenna 121: 2459847

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
121 N08 digital_ok ee Temporal Discontinuties 36.633613 8.026126 3.692716 0.779163 -0.579989 -0.288105 1.095456 10.831309 36.633613

Antenna 121: 2459846

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
121 N08 digital_ok ee Temporal Discontinuties 32.563660 4.013751 7.167423 -0.503091 0.273853 -0.691469 0.207263 32.563660 10.361528

Antenna 121: 2459845

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
121 N08 digital_ok nn Power inf 388.623641 388.559443 inf inf 7776.542745 7543.195495 7115.777023 6488.387056

Antenna 121: 2459844

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
121 N08 digital_ok ee Shape nan nan nan inf inf nan nan nan nan

Antenna 121: 2459843

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
121 N08 digital_ok nn Shape nan nan nan inf inf nan nan nan nan

Antenna 121: 2459842

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
121 N08 digital_ok ee Temporal Discontinuties 9.515402 1.677023 4.549379 0.301136 1.646624 2.150233 0.898718 9.515402 4.378999

Antenna 121: 2459841

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
121 N08 digital_ok ee Shape nan nan nan inf inf nan nan nan nan

Antenna 121: 2459840

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
121 N08 digital_ok ee Shape 70.371340 70.371340 56.718877 16.250758 16.559742 8.291598 9.227950 23.789167 25.684471

Antenna 121: 2459839

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
121 N08 digital_ok nn Power 39.970500 14.475382 17.859315 39.970500 38.617097 4.550420 3.839699 35.432765 31.525175

Antenna 121: 2459838

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
121 N08 digital_ok ee Temporal Discontinuties 37.302735 6.213423 3.213235 2.115490 -0.618547 1.721332 1.442690 4.743799 37.302735

Antenna 121: 2459835

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
121 N08 digital_ok ee Temporal Discontinuties 87.572870 1.092034 -0.182444 4.796260 1.444073 3.775337 20.483641 20.100264 87.572870

Antenna 121: 2459833

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
121 N08 digital_ok ee Temporal Discontinuties 136.343733 4.054410 8.710920 6.541161 5.326953 31.504947 34.066500 102.318200 136.343733

Antenna 121: 2459832

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
121 N08 digital_ok ee Temporal Discontinuties 33.628889 4.437166 8.467776 -0.903078 2.201983 -0.768391 1.730059 33.628889 15.058066

Antenna 121: 2459831

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
121 N08 digital_ok ee Shape nan nan nan inf inf nan nan nan nan

Antenna 121: 2459830

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
121 N08 digital_ok ee Temporal Discontinuties 69.541828 4.200858 9.068833 -0.863690 3.343518 0.227473 1.245492 69.541828 26.968624

Antenna 121: 2459829

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
121 N08 digital_ok ee Temporal Discontinuties 106.883623 11.164460 5.768559 3.466552 -0.607257 5.026227 1.359832 45.887998 106.883623

Antenna 121: 2459828

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
121 N08 digital_ok ee Temporal Discontinuties 75.923504 7.638969 3.934943 1.012287 -0.636306 0.152961 0.129792 61.074281 75.923504

Antenna 121: 2459827

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
121 N08 digital_ok ee Temporal Discontinuties 22.152891 4.146723 9.416513 -0.186917 1.106946 9.670350 1.544571 22.152891 14.799078

Antenna 121: 2459826

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
121 N08 digital_ok ee Temporal Discontinuties 63.119088 6.985438 3.231482 0.673932 -0.439110 0.550885 0.143666 29.983795 63.119088

Antenna 121: 2459825

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
121 N08 digital_ok nn Shape 7.065117 7.065117 3.239422 0.651598 -0.781376 0.431374 -0.457031 5.470125 6.345403

Antenna 121: 2459824

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
121 N08 digital_ok ee Temporal Discontinuties 45.231047 2.966887 7.364780 -0.498087 0.771512 0.053043 1.438966 45.231047 22.468948

Antenna 121: 2459823

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
121 N08 digital_ok ee Temporal Discontinuties 56.775674 5.142471 2.647958 0.472254 -0.458133 1.341867 0.907905 49.468164 56.775674

Antenna 121: 2459822

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
121 N08 digital_ok ee Temporal Discontinuties 9.584038 3.263409 6.736206 -0.532762 0.896097 -0.482849 0.734781 9.584038 5.944538

Antenna 121: 2459821

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
121 N08 digital_ok nn Shape 8.227680 8.227680 4.274988 0.460695 -0.507681 -0.006589 -0.670087 2.045500 1.374529

Antenna 121: 2459820

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
121 N08 digital_ok ee Temporal Discontinuties 34.381362 4.347923 8.732865 -0.640823 1.062515 5.154305 6.112898 34.381362 27.395893

Antenna 121: 2459817

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
121 N08 digital_ok nn Shape 5.540111 3.278970 5.540111 -0.662233 0.457390 -0.578477 -0.390997 5.085498 4.306261

Antenna 121: 2459816

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
121 N08 digital_ok ee Temporal Discontinuties 74.314825 6.134736 3.437009 0.825796 -0.835129 1.163022 0.629094 39.119380 74.314825

Antenna 121: 2459815

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
121 N08 digital_ok ee Temporal Discontinuties 54.182765 5.590731 2.906043 0.317560 -0.783711 1.441923 -0.575916 27.450252 54.182765

Antenna 121: 2459814

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
121 N08 digital_ok nn Shape nan nan nan nan nan nan nan nan nan

Antenna 121: 2459813

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
121 N08 digital_ok ee Temporal Discontinuties 78.820545 11.077269 6.725920 0.392436 -0.755716 4.480369 3.408375 41.239208 78.820545
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